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The rise of AI in research visualization can feel destabilizing—and there's good reason for that discomfort. This session takes an honest look at where we are right now: the ethical questions, the commercial pressures, and the lack of clear guidelines. More importantly, we'll explore practical approaches you can take to navigate these tools with intention, make informed decisions about when and how to use AI in your visualization work, and make choices that align with your values. We'll break into small groups to discuss these themes through real scenarios from the instructor's experience, giving you space to think through how these issues show up in practice and what your own stance might be.
Learning objectives: In this workshop participants will:
Evaluate a source of information to determine whether it is valid and credible
Recognize different way values and ideologies are embedded in information sources
Determine the impact of information on scholarship and society
Recognize how research, writing, and publishing practices have the potential to enrich or limit information contained in a source
Recognize the characteristics that give writers and information authority
Presenter(s): Meg Miller
Date:
Wednesday, October 7, 2026
Time:
12:00pm - 1:30pm
Location:
Elizabeth Dafoe Library - Digital Scholarship Commons
